A new LDA formulation with covariates. (arXiv:2202.11527v1 [cs.IR])

The Latent Dirichlet Allocation (LDA) model is a popular method for creating
mixed-membership clusters. Despite having been originally developed for text
analysis, LDA has been used for a wide range of other applications. We propose
a new formulation for the LDA model which incorporates covariates. In this
model, a negative binomial regression is embedded within LDA, enabling
straight-forward interpretation of the regression coefficients and the analysis
of the quantity of cluster-specific elements in each sampling units (instead of
the analysis …

arxiv lda